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Cost-effectiveness analysis of best management practices for non-point source pollution in watersheds: A review
Published 2017-03-01“…Since few studies on research progress of BMPs cost-effectiveness analysis have been reported in China, methods of cost-effectiveness analysis were illustrated in this paper, to provide the foundation for the further research.Recently, relevant researchers have used empirical calculation methods and economic models to estimate costs of BMPs, and non-point source pollution model was developed to evaluate environmental benefits. …”
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544
Faulted Line Segment Location Method for Low-Voltage Distribution Network Based on Adjacency Matrix
Published 2021-11-01“…The monitoring information of the fault monitoring unit is calculated according to the shortest path from the power source to the estimated fault line section. Based on these works, the fault line segment location model of low-voltage distribution network considering multiple faults is developed, and the particle swarm optimization algorithm is used to solve the model. …”
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Alzheimer’s Prediction Methods with Harris Hawks Optimization (HHO) and Deep Learning-Based Approach Using an MLP-LSTM Hybrid Network
Published 2025-02-01“…This study aims to address these limitations by developing an integrated approach combining swarm intelligence with ML and DL techniques for Alzheimer’s disease classification. <b>Method:</b> This proposal methodology involves sourcing Alzheimer’s disease-related MRI images and extracting features using convolutional neural networks (CNNs) and the Gray Level Co-occurrence Matrix (GLCM). …”
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548
Exploration of comprehensive two-dimensional liquid chromatography: Theoretical aspects and practical considerations - A tutorial
Published 2025-05-01“…The profits of such a technique, compared to the 1D-LC approach, are the increased resolving power along with significant reduced ion enhancement or suppression phenomena in the MS source. This tutorial aims to provide detailed information on theoretical and practical aspects of the LC×LC approach with a particular focus on column combination, method optimization and separation performance. …”
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549
Nearest-Better Network-Assisted Fitness Landscape Analysis of Contaminant Source Identification in Water Distribution Network
Published 2024-12-01“…Contaminant Source Identification in Water Distribution Network (CSWIDN) is critical for ensuring public health, and optimization algorithms are commonly used to solve this complex problem. …”
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550
Pulsating power mitigation in poly-source DC microgrids with single-phase inverters: A theoretical analysis
Published 2025-05-01Get full text
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551
Flow Allocation Algorithm Based on Potential Game in Multi-Source Multi-Hop Wireless Sensor Network
Published 2015-02-01“…Network coding has been used as an efficient method to improve network throughput over wireless environments. …”
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552
Distributed Decision Making for Electromagnetic Radiation Source Localization Using Multi-Agent Deep Reinforcement Learning
Published 2025-03-01“…To address these challenges, we propose the Multi-UAV Reconnaissance Proximal Policy Optimization (MURPPO) algorithm based on a distributed reinforcement learning framework, which utilizes an independent decision making mechanism and collaborative positioning method with multiple UAVs to achieve high-precision detection and localization of radiation sources. …”
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553
Generic Method for Social–Environmental System Boundary Delineation—An Amalgamation of Spatial Data Integration, Optimization, and User Control for Resource Management
Published 2024-12-01“…Despite its significance, existing SES delineation methods often rely on subjective judgment and struggle with the non-linear, multi-scale nature of SES data, leading to challenges in effective resource management and policymaking. …”
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554
Research on Water-Filled Source Identification Technology of Coal Seam Floor Based on Multiple Index Factors
Published 2019-01-01“…The four impact factors such as water inflow, water pressure, water inrush coefficient, and fault fractal dimension of 21 water boreholes are used as evaluation indices, and a mathematical model for identifying the water-filled source of the coal seam floor is established by coupling an entropy weight method and fuzzy variable set theory. …”
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555
New Advances in Bioelectrochemical Systems in the Degradation of Polycyclic Aromatic Hydrocarbons: Source, Degradation Pathway, and Microbial Community
Published 2025-01-01“…This review provides a comprehensive introduction to PAH degradation by BESs, including PAH sources, degradation effects of BESs, performance enhancement methods, degradation pathways, and dominant microorganisms. …”
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556
The Optimal Integration of Virtual Power Plants for the South African National Grid Based on an Energy Mix as per the Integrated Resource Plan 2019: A Review
Published 2024-12-01“…To achieve this, innovative methods must be found to integrate renewable energy sources while preserving grid stability. …”
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557
On-board radar complex for high-precision direction finding of radio sources for autonomous guidance of winged UAVs
Published 2024-08-01“…The methods for solving the tasks are based on the statistical theory of optimization of radio engineering systems for remote sensing and radar, existing software tools for simulation modelling, and the theory of radio measurements. …”
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558
Super Resolution Reconstruction of Mars Thermal Infrared Remote Sensing Images Integrating Multi-Source Data
Published 2025-06-01“…To address this issue, this paper proposes a super-resolution reconstruction method for Mars thermal infrared remote sensing images integrating multi-source data. …”
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559
Power Quality Analysis of a Microgrid-Based on Renewable Energy Sources: A Simulation-Based Approach
Published 2024-11-01Get full text
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Robust Multi-Stage Planning of Park-Level Integrated Energy System Considering Source-Load Uncertainties
Published 2025-04-01“…[Methods] First, a box-type uncertainty set is used to model the source-load uncertainty and uncertainty adjustment parameters are introduced to reduce the conservatism of PIES planning and obtain a two-stage robust optimization (TSRO) model. …”
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